Construction of Bayesian deformable models via a stochastic approximation algorithm: A convergence study, Bernoulli, vol.16, issue.3, pp.641-678, 2010. ,
DOI : 10.3150/09-BEJ229
A stochastic algorithm for probabilistic independent component analysis, In revision for Annals of Applied Statistics ,
Identifying global anatomical differences: deformation-based morphometry, Human Brain Mapping, vol.656, pp.348-357, 1998. ,
Gaussian model selection with an unknown variance, The Annals of Statistics, vol.37, issue.2, pp.630-672, 2009. ,
DOI : 10.1214/07-AOS573
URL : https://hal.archives-ouvertes.fr/hal-00756074
Covariance regularization by thresholding, The Annals of Statistics, vol.36, issue.6, pp.2577-2604, 2008. ,
DOI : 10.1214/08-AOS600
Inferring brain variability from diffeomorphic deformations of currents: An integrative approach, Medical Image Analysis, vol.12, issue.5, pp.626-637, 2008. ,
DOI : 10.1016/j.media.2008.06.010
URL : https://hal.archives-ouvertes.fr/hal-00816052
Estimation of Gaussian graphs by model selection, Electronic Journal of Statistics, vol.2, issue.0, pp.542-563, 2008. ,
DOI : 10.1214/08-EJS228
URL : https://hal.archives-ouvertes.fr/hal-00180837
Graph Selection with GGMselect, Statistical Applications in Genetics and Molecular Biology, vol.11, issue.3 ,
DOI : 10.1515/1544-6115.1625
URL : https://hal.archives-ouvertes.fr/hal-00401550
On model selection consistency of the elastic net when p n, 2008. ,
Stuctural connectivity via the tensor-based morphometry, Biannual Meeting of Korean Society of Human Brain Mapping, 2010. ,
Sparse brain network using penalized linear regression, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging, 2011. ,
DOI : 10.1117/12.877547
Sparse brain network recovery under compressed sensing, IEEE Transactions on Medical Imaging, 2011. ,
High-dimensional graphs and variable selection with the Lasso, The Annals of Statistics, vol.34, issue.3, pp.1436-1462, 2006. ,
DOI : 10.1214/009053606000000281
Collaborative computational anatomy: An MRI morphometry study of the human brain via diffeomorphic metric mapping, Human Brain Mapping, vol.25, issue.7, pp.2132-2141, 2009. ,
DOI : 10.1002/hbm.20655
On the Metrics and Euler-Lagrange Equations of Computational Anatomy, Annual Review of Biomedical Engineering, vol.4, issue.1, 2002. ,
DOI : 10.1146/annurev.bioeng.4.092101.125733
Discovering Modes of an Image Population through Mixture Modeling, MICCAI LNCS, issue.5242, pp.381-389, 2008. ,
DOI : 10.1007/978-3-540-85990-1_46
Neurodegenerative diseases target large-scale human brain networks, pp.42-52, 2009. ,
DOI : 10.1016/j.neuron.2009.03.024
URL : http://doi.org/10.1016/j.neuron.2009.03.024
Network modelling methods for FMRI, NeuroImage, vol.54, issue.2, pp.875-891, 2011. ,
DOI : 10.1016/j.neuroimage.2010.08.063
Regression shrinkage and selection via the lasso, J. Royal. Statist. Soc B, vol.58, issue.1, pp.267-288, 1996. ,
Feature-based morphometry: Discovering group-related anatomical patterns, NeuroImage, vol.49, issue.3, pp.2318-2327, 2010. ,
DOI : 10.1016/j.neuroimage.2009.10.032
Brain covariance selection: better individual functional connectivity models using population prior, NIPS, 2010. ,
URL : https://hal.archives-ouvertes.fr/inria-00512451
Abnormalities of hippocampal surface structure in very mild dementia of the Alzheimer type, NeuroImage, vol.30, issue.1, pp.52-60, 2006. ,
DOI : 10.1016/j.neuroimage.2005.09.017
Shape analysis with multivariate tensor-based morphometry and holomorphic differentials, 2009. ,
Sparse Representation for Computer Vision and Pattern Recognition, Proceedings of the IEEE, 2010. ,
DOI : 10.1109/JPROC.2010.2044470
Regularization and variable selection via the elastic net, Journal of the Royal Statistical Society, Series B, 2005. ,